How to Install and Uninstall python2-numpy_1_16_5-gnu-hpc Package on openSUSE Leap
Last updated: November 08,2024
Deprecated! Installation of this package may no longer be supported.
1. Install "python2-numpy_1_16_5-gnu-hpc" package
Please follow the step by step instructions below to install python2-numpy_1_16_5-gnu-hpc on openSUSE Leap
$
sudo zypper refresh
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$
sudo zypper install
python2-numpy_1_16_5-gnu-hpc
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2. Uninstall "python2-numpy_1_16_5-gnu-hpc" package
This guide let you learn how to uninstall python2-numpy_1_16_5-gnu-hpc on openSUSE Leap:
$
sudo zypper remove
python2-numpy_1_16_5-gnu-hpc
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3. Information about the python2-numpy_1_16_5-gnu-hpc package on openSUSE Leap
Information for package python2-numpy_1_16_5-gnu-hpc:
-----------------------------------------------------
Repository : Main Repository
Name : python2-numpy_1_16_5-gnu-hpc
Version : 1.16.5-1.164
Arch : x86_64
Vendor : SUSE LLC
Installed Size : 11,9 MiB
Installed : No
Status : not installed
Source package : python-numpy_1_16_5-gnu-hpc-1.16.5-1.164.src
Summary : NumPy array processing for numbers, strings, records and objects
Description :
NumPy is a general-purpose array-processing package designed to
efficiently manipulate large multi-dimensional arrays of arbitrary
records without sacrificing too much speed for small multi-dimensional
arrays. NumPy is built on the Numeric code base and adds features
introduced by numarray as well as an extended C-API and the ability to
create arrays of arbitrary type which also makes NumPy suitable for
interfacing with general-purpose data-base applications.
There are also basic facilities for discrete fourier transform,
basic linear algebra and random number generation.
-----------------------------------------------------
Repository : Main Repository
Name : python2-numpy_1_16_5-gnu-hpc
Version : 1.16.5-1.164
Arch : x86_64
Vendor : SUSE LLC
Installed Size : 11,9 MiB
Installed : No
Status : not installed
Source package : python-numpy_1_16_5-gnu-hpc-1.16.5-1.164.src
Summary : NumPy array processing for numbers, strings, records and objects
Description :
NumPy is a general-purpose array-processing package designed to
efficiently manipulate large multi-dimensional arrays of arbitrary
records without sacrificing too much speed for small multi-dimensional
arrays. NumPy is built on the Numeric code base and adds features
introduced by numarray as well as an extended C-API and the ability to
create arrays of arbitrary type which also makes NumPy suitable for
interfacing with general-purpose data-base applications.
There are also basic facilities for discrete fourier transform,
basic linear algebra and random number generation.